In medicine it would be appreciated more if it were more effective. Many times the right answer to "I don't have enough data to do X" is: don't do X.

I'm not entirely pessimistic on this by the way, I think principled semi-supervised approaches are likely to work much better than some of the hail mary's you see people try in the space with transfer learning and generative models etc. But it's still hard, and often it just isn't going to work with the kind of practical numbers some people want to be able to work with in medicine.